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arXiv 2001.11813cs.ITeess.SPmath.IT
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城市环境中LOS/NLOS概率的统计近似

Statistical Approximations of LOS/NLOS Probability in Urban Environment

Rimvydas Aleksiejunas

摘要:

视线和非视线(LOS/NLOS)可见性条件分析是无线信道建模的一个重要方面。对于统计信道模型,通常使用蒙特卡罗模拟来生成基于特定LOS概率的空间一致的可见性状态。目前的工作地址的LOS概率近似问题,使用混合的距离依赖指数函数的城市地区的高和低的建筑密度。该模型将站点覆盖区域划分为LOS区和NLOS区,分别采用三角级数和支持向量分类方法进行近似。与常用的通用ITU-R和3GPP LOS概率模型相比,所提出的近似与真实世界的LOS分布相比更准确。LOS概率模型的准确性进行了测试,从曼哈顿和旧金山城市地区的数字建筑数据获得的能见度预测。

英文摘要:

Analysis of line-of-sight and non-line-of-sight (LOS/NLOS) visibility conditions is an important aspect of wireless channel modeling. For statistical channel models the Monte Carlo simulations are usually used to generate spatially consistent visibility states based on particular LOS probability. The present works addresses LOS probability approximation problem using a mix of distance-dependent exponential functions for urban areas with high and low building densities. The proposed model divides site coverage area into LOS and NLOS zones approximated by trigonometric series and support vector classification methods. Compared to commonly used generic ITU-R and 3GPP LOS probability models the proposed approximation is more accurate compared to real world LOS distributions. The accuracy of LOS probability model has been tested against visibility predictions obtained from the digital building data over Manhattan and San Francisco city areas.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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